Sun, Peng

38 publications

ICCV 2025 Bridging the Gap Between Ideal and Real-World Evaluation: Benchmarking AI-Generated Image Detection in Challenging Scenarios Chunxiao Li, Xiaoxiao Wang, Meiling Li, Boming Miao, Peng Sun, Yunjian Zhang, Xiangyang Ji, Yao Zhu

AAAI 2025 DSRC: Learning Density-Insensitive and Semantic-Aware Collaborative Representation Against Corruptions Jingyu Zhang, Yilei Wang, Lang Qian, Peng Sun, Zengwen Li, Sudong Jiang, Maolin Liu, Liang Song

ICLR 2025 GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-Zero Cost Xinyi Shang, Peng Sun, Tao Lin

NeurIPS 2025 Multi-Agent KTO: Enhancing Strategic Interactions of Large Language Model in Language Game Rong Ye, Yongxin Zhang, Yikai Zhang, Haoyu Kuang, Peng Sun, Zhongyu Wei

ICCV 2025 Towards Annotation-Free Evaluation: KPAScore for Human Keypoint Detection Xiaoxiao Wang, Chunxiao Li, Peng Sun, Boming Miao, Yunjian Zhang, Yao Zhu

AAAI 2025 Unlocking the Power of LSTM for Long Term Time Series Forecasting Yaxuan Kong, Zepu Wang, Yuqi Nie, Tian Zhou, Stefan Zohren, Yuxuan Liang, Peng Sun, Qingsong Wen

AAAI 2024 A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives Yudong Gao, Honglong Chen, Peng Sun, Junjian Li, Anqing Zhang, Zhibo Wang, Weifeng Liu

ECCV 2024 Align Before Collaborate: Mitigating Feature Misalignment for Robust Multi-Agent Perception Dingkang Yang, Dingkang Yang, Ke Li, Dongling Xiao, Zedian Shao, Peng Sun, Liang Song

CVPR 2024 Byzantine-Robust Decentralized Federated Learning via Dual-Domain Clustering and Trust Bootstrapping Peng Sun, Xinyang Liu, Zhibo Wang, Bo Liu

CVPR 2024 ERMVP: Communication-Efficient and Collaboration-Robust Multi-Vehicle Perception in Challenging Environments Jingyu Zhang, Kun Yang, Yilei Wang, Hanqi Wang, Peng Sun, Liang Song

NeurIPS 2024 Efficiency for Free: Ideal Data Are Transportable Representations Peng Sun, Yi Jiang, Tao Lin

ICML 2024 Energy-Based Backdoor Defense Without Task-Specific Samples and Model Retraining Yudong Gao, Honglong Chen, Peng Sun, Zhe Li, Junjian Li, Huajie Shao

CVPR 2024 On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm Peng Sun, Bei Shi, Daiwei Yu, Tao Lin

ICML 2024 Training Large Language Models for Reasoning Through Reverse Curriculum Reinforcement Learning Zhiheng Xi, Wenxiang Chen, Boyang Hong, Senjie Jin, Rui Zheng, Wei He, Yiwen Ding, Shichun Liu, Xin Guo, Junzhe Wang, Honglin Guo, Wei Shen, Xiaoran Fan, Yuhao Zhou, Shihan Dou, Xiao Wang, Xinbo Zhang, Peng Sun, Tao Gui, Qi Zhang, Xuanjing Huang

CVPR 2023 Event-Based Frame Interpolation with Ad-Hoc Deblurring Lei Sun, Christos Sakaridis, Jingyun Liang, Peng Sun, Jiezhang Cao, Kai Zhang, Qi Jiang, Kaiwei Wang, Luc Van Gool

NeurIPS 2023 Hybrid Policy Optimization from Imperfect Demonstrations Hanlin Yang, Chao Yu, Peng Sun, Siji Chen

CVPR 2023 Privacy-Preserving Adversarial Facial Features Zhibo Wang, He Wang, Shuaifan Jin, Wenwen Zhang, Jiahui Hu, Yan Wang, Peng Sun, Wei Yuan, Kaixin Liu, Kui Ren

ICCV 2023 Spatio-Temporal Domain Awareness for Multi-Agent Collaborative Perception Kun Yang, Dingkang Yang, Jingyu Zhang, Mingcheng Li, Yang Liu, Jing Liu, Hanqi Wang, Peng Sun, Liang Song

CVPR 2023 Towards Transferable Targeted Adversarial Examples Zhibo Wang, Hongshan Yang, Yunhe Feng, Peng Sun, Hengchang Guo, Zhifei Zhang, Kui Ren

NeurIPS 2022 A Unified Diversity Measure for Multiagent Reinforcement Learning Zongkai Liu, Chao Yu, Yaodong Yang, Peng Sun, Zifan Wu, Yuan Li

ECCV 2022 Event-Based Fusion for Motion Deblurring with Cross-Modal Attention Lei Sun, Christos Sakaridis, Jingyun Liang, Qi Jiang, Kailun Yang, Peng Sun, Yaozu Ye, Kaiwei Wang, Luc Van Gool

AAAI 2022 FedInv: Byzantine-Robust Federated Learning by Inversing Local Model Updates Bo Zhao, Peng Sun, Tao Wang, Keyu Jiang

CVPR 2021 Deep RGB-D Saliency Detection with Depth-Sensitive Attention and Automatic Multi-Modal Fusion Peng Sun, Wenhu Zhang, Huanyu Wang, Songyuan Li, Xi Li

ICML 2021 Towards Distraction-Robust Active Visual Tracking Fangwei Zhong, Peng Sun, Wenhan Luo, Tingyun Yan, Yizhou Wang

AAAI 2020 Attention-over-Attention Field-Aware Factorization Machine Zhibo Wang, Jinxin Ma, Yongquan Zhang, Qian Wang, Ju Ren, Peng Sun

WACV 2020 Measuring the Utilization of Public Open Spaces by Deep Learning: A Benchmark Study at the Detroit Riverfront Peng Sun, Rui Hou, Jerome Lynch

ICLR 2019 AD-VAT: An Asymmetric Dueling Mechanism for Learning Visual Active Tracking Fangwei Zhong, Peng Sun, Wenhan Luo, Tingyun Yan, Yizhou Wang

ICML 2019 Grid-Wise Control for Multi-Agent Reinforcement Learning in Video Game AI Lei Han, Peng Sun, Yali Du, Jiechao Xiong, Qing Wang, Xinghai Sun, Han Liu, Tong Zhang

ICML 2018 An Algorithmic Framework of Variable Metric Over-Relaxed Hybrid Proximal Extra-Gradient Method Li Shen, Peng Sun, Yitong Wang, Wei Liu, Tong Zhang

ICML 2018 End-to-End Active Object Tracking via Reinforcement Learning Wenhan Luo, Peng Sun, Fangwei Zhong, Wei Liu, Tong Zhang, Yizhou Wang

NeurIPS 2018 Exponentially Weighted Imitation Learning for Batched Historical Data Qing Wang, Jiechao Xiong, Lei Han, Peng Sun, Han Liu, Tong Zhang

ICML 2014 A Convergence Rate Analysis for LogitBoost, MART and Their Variant Peng Sun, Tong Zhang, Jie Zhou

MLJ 2014 An Improved Multiclass LogitBoost Using Adaptive-One-vs-One Peng Sun, Mark D. Reid, Jie Zhou

ICML 2013 Saving Evaluation Time for the Decision Function in Boosting: Representation and Reordering Base Learner Peng Sun, Jie Zhou

ICML 2012 AOSO-LogitBoost: Adaptive One-vs-One LogitBoost for Multi-Class Problem Peng Sun, Mark D. Reid, Jie Zhou

ICML 2012 The Convexity and Design of Composite Multiclass Losses Mark D. Reid, Robert C. Williamson, Peng Sun

AAAI 2008 A Variance Analysis for POMDP Policy Evaluation Mahdi Milani Fard, Joelle Pineau, Peng Sun

ICML 2004 Bias and Variance in Value Function Estimation Shie Mannor, Duncan Simester, Peng Sun, John N. Tsitsiklis